What data sources do you use use for analysis?

We aggregate data from a wide range of high global full news sources, ensuring comprehensive coverage of consumer spending trends. We also use advanced sentiment data analysis to provide deeper sentiment insights into consumer spending behaviour.

How far back does your data go?

We aggregate data from 2018 to the present, allowing users to track and analyze long-term patterns and fluctuations in sentiment around consumer spending, employment, GDP and inflation, as well as providing real-time insights.

How can your data analysis and insights help businesses make informed decisions regarding economic trends?

By offering in-depth analysis and insights into sentiment around consumer spending, employment, GDP and inflation, our data empowers businesses to understand shifts in economic drivers, and sentiment trends. This knowledge allows businesses to make informed decisions and drive growth strategies tailored to evolving consumer demands.

Can your data be customized to specific regions?

Yes, our data feeds can be customized to cater to specific regions, providing tailored insights relevant to your needs, giving you the flexibility to analyze trends in your target markets.

How do you conduct sentiment analysis in relation to economic factors?

Our methodology for sentiment analysis is grounded in sophisticated algorithms designed to extract and analyze sentiment from a vast array of news sources. We start by gathering data from global full news sources covering a broad spectrum of economic factors, including GDP, inflation, employment, and other relevant indicators. Next, our advanced algorithms meticulously process this data, identifying key sentiments expressed within each news article or report. These sentiments are categorized and analyzed to determine the overall sentiment polarity towards specific economic factors. Our approach goes beyond simple keyword analysis, incorporating natural language processing (NLP) techniques to understand the nuanced context and tone of each piece of news. This enables us to capture the subtleties of sentiment expressed by journalists, experts, and commentators across various economic topics. Furthermore, our algorithms are continually refined and optimized through machine learning and AI techniques, ensuring accuracy and relevance in sentiment analysis. By leveraging these sophisticated methodologies, we provide users with valuable insights into public sentiment surrounding economic factors, empowering them to make informed decisions and anticipate shifts in economic conditions effectively.

What is the pricing for your economic data intelligence?

Our pricing for economic data intelligence feeds is structured per category and is based on the number of seats you require for the data feed. We offer flexible pricing options ranging from a single seat for individual users to business and enterprise levels for larger organizations with multiple users. The pricing may vary depending on the specific categories of economic data you require access to and the level of subscription you choose. For more detailed pricing information tailored to your needs, please contact our team at enquiries@permutable.ai, and they will be happy to assist you further.

Big Data Analytics Use Cases

BIG DATA ANALYTICS

Unlock the power of big data analytics and enhance your strategy with our data-driven insights to stay ahead of the competition

MARKET FORECASTING

Predict market movements by analyzing key economic indicators and geopolitical events. Our datasets allow you to model various scenarios and anticipate shifts in the market, enabling you to make proactive investment and business decisions. Stay ahead of the competition by leveraging data to identify emerging trends and potential market disruptions.

POLICY IMPACT ANALYSIS

Understand the implications of policy developments on various industries and economies. By examining legislative changes, regulatory updates, and government initiatives, you can assess their potential effects on market conditions and business environments. This insight helps you to adapt strategies, mitigate risks, and seize opportunities that arise from policy shifts.

STRATEGIC PLANNING

Make data-driven strategic decisions with access to real-time and historical data. Our datasets provide a robust foundation for long-term planning, enabling you to analyze past trends, current conditions, and future projections. This comprehensive view supports informed decision-making, ensuring your strategies are resilient and aligned with market realities.

RISK MANAGEMENT

Monitor extreme weather events, pandemics, terrorism and wars to mitigate potential risks. Our real-time data and analysis tools help you track global incidents and assess their impact on your operations, investments, and supply chains. Proactively manage risks by staying informed about events that could disrupt markets or affect your business.

ECONOMIC ANALYSIS

Track economic data, including housing, inflation, and consumer spending, to gauge market conditions. Our insights provide a detailed view of economic indicators, helping you understand underlying trends and make informed decisions. Analyze the health of economies and predict potential changes to stay ahead in your industry.

PROACTIVE MANAGEMENT

Implement proactive risk management strategies to safeguard your business. Use our intelligence to develop contingency plans, diversify business operations, and enhance your risk mitigation practices. Stay prepared for unexpected disruptions and ensure the continuity of your business operations.

COMPETITIVE ANALYSIS

Analyze business performance, ESG factors, and competitive positioning of companies worldwide. Our tools provide comprehensive data on company operations, financial health, and sustainability initiatives. Use these insights to benchmark against competitors, identify market leaders, and refine your competitive strategies.

INVESTMENT DECISIONS

Make informed investment decisions by tracking real-time company information and analysis. Access detailed reports on company performance, market trends, and financial metrics to evaluate potential investments. Make smarter investment choices by leveraging our accurate and timely data.

SUSTAINABILITY GOALS

Monitor companies’ net zero targets and environmental initiatives to align with ESG strategies. Our intelligence helps you track corporate sustainability efforts, assess their impact, and integrate ESG considerations into your decision-making processes. Support your sustainability objectives by staying informed about industry practices and company commitments.

SUPPLY CHAIN NETWORK ANALYSIS

Map and analyze your supply chain network for improved operational efficiency. Our Supply Chain Network analysis tool provides a detailed view of your supply chain, highlighting connections, dependencies, and potential bottlenecks. Optimize your operations by identifying areas vulnerabilities and ensuring supply chain performance and resilience.

FAQS ABOUT OUR BIG DATA ANALYTICS

What is big data analytics?

Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful business information. It involves using advanced analytic techniques against very large, diverse data sets from various sources.

How can big data analytics benefit my business?

What types of data are typically used in big data analytics?

Big data analytics can use various types of data, including:

Structured data
Unstructured data
Semi-structured data
Machine-generated data
Web data

How does big data analytics differ from traditional data analysis?

Big data analytics differs from traditional data analysis in several ways:

Volume: It deals with much larger datasets
Velocity: It can process data in real-time or near real-time
Variety: It can handle diverse data types and sources
Advanced techniques: It often employs machine learning and AI
Scalability: It uses distributed computing for processing

How long does it take to implement a big data analytics solution?

The implementation time can vary widely depending on the complexity of your data, the scale of the solution, and your organization’s readiness. Simple solutions might be implemented in a few weeks, while more complex, enterprise-wide implementations could take several months.

Can big data analytics help with predictive analysis?

Yes, predictive analysis is one of the key applications of big data analytics. By analyzing historical data patterns, big data analytics can help forecast future trends, customer behaviors, and potential risks or opportunities.

How do I get started with big data analytics?

To get started with big data analytics:

Identify your business objectives
Assess your current data assets and infrastructure
Choose appropriate technologies and tools
Start with a pilot project
Scale gradually based on results and learnings

Remember to consult with experts or solution providers like Permutable AI who can tailor the approach to your specific needs.

Ready to see how our big data analytics can transform your decision-making? Contact us for a personalized demo tailored to your industry needs or to request a free trial.